Title
Ghost Removal In High Dynamic Range Images
Keywords
Image generation; Pattern recognition
Abstract
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appear if there is movement in the scene at the time of capture. This paper describes a novel approach to removing ghosting artifacts from high dynamic range images, without the need for explicit object detection and motion estimation. Weights are computed iteratively and then applied to pixels to determine their contribution to the final image. We use a non-parametric model for the static part of the scene, and a pixel's membership in this model determines its weight. In contrast to previous approaches, our technique does not rely on explicit object detection, tracking, or pixelwise motion estimates. Ghost-free images of different scenes demonstrate the effectiveness of our technique. ©2006 IEEE.
Publication Date
12-1-2006
Publication Title
Proceedings - International Conference on Image Processing, ICIP
Number of Pages
2005-2008
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICIP.2006.312892
Copyright Status
Unknown
Socpus ID
78649862795 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/78649862795
STARS Citation
Khan, Erum Arif; Akyüz, Ahmet Oǧuz; and Reinhard, Erik, "Ghost Removal In High Dynamic Range Images" (2006). Scopus Export 2000s. 7574.
https://stars.library.ucf.edu/scopus2000/7574